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Hamming Distance (HD)

Nef gene evolution from a single transmitted strain in acute SIV infection

Nef gene evolution from a single transmitted strain in acute SIV infection

... calculated HD 0 and HD, we define the basic measurements for quantifying the evolution of HIV-1 sequence ...average HD 0 per base from the initial founder strain; diversity is defined as the average ...

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Image 
		based heart murmur classification using hamming distance measure

Image based heart murmur classification using hamming distance measure

... total distance finding problem is the problem of looking for short segments that are over-represented among a set of long ...total Hamming distance is the sum of the Hamming distance ...

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Searching All Seeds of Strings with Hamming Distance using Finite Automata

Searching All Seeds of Strings with Hamming Distance using Finite Automata

... under Hamming, Levenshtein (also called edit), and weighted Levenshtein distance was presented by Christodoulakis, Iliopoulos, Park, and Sim ...der Hamming, Levenshtein, and Damerau distance ...

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Molecular communications : channel model and physical layer techniques

Molecular communications : channel model and physical layer techniques

... Figure 3 demonstrates the performance of different coding schemes over diffusion-based molecular communications. It can be observed that Reed-Muller code (8,4) designed based on Hamming distance is inferior ...

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Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance

Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance

... To the best of our knowledge, this is the first algorithm that evaluates global robustness of DNNs based on the Hamming distance with provable guarantees. We provide a tensor-based implementation of the ...

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MODELING OF BROADBAND LIGHT SOURCE FOR OPTICAL NETWORK APPLICATIONS USING FIBER 
NON LINEAR EFFECT

MODELING OF BROADBAND LIGHT SOURCE FOR OPTICAL NETWORK APPLICATIONS USING FIBER NON LINEAR EFFECT

... Identifying a palm from a large database in real-time is a major challenge in designing matching algorithms. Some have tried to exploit hierarchical and classification approaches (Zhang & Zhang 2004, Zhang et al. ...

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Wavelet feature extraction based human Iris recognition

Wavelet feature extraction based human Iris recognition

... The Hamming distance is the matching metric employed by Daugman, and calculation of the Hamming distance is taken only in bits that are generated from the actual iris region ...the ...

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Structural matching by discrete relaxation

Structural matching by discrete relaxation

... namely Hamming distance; relational mappings of large Hamming distance contribute insignificantly while those of small Hamming distance ...

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Intuitionistic Fuzzy Set (IFS), Multi-agent system (MAS), Quality criteria, Quality factor

Intuitionistic Fuzzy Set (IFS), Multi-agent system (MAS), Quality criteria, Quality factor

... intuitionistic distance among the stakeholders’ opinions ...same Hamming distance are sorted according to Euclidean ...same Hamming and Euclidean distance are treated at the same level, ...

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FPGA Design and Implementation of a Convolutional Encoder and a Viterbi Decoder Based on 802 11a for OFDM

FPGA Design and Implementation of a Convolutional Encoder and a Viterbi Decoder Based on 802 11a for OFDM

... cumulative hamming distance is also on the ...cumulative hamming distance is mov- ed two bits wide ...lative hamming distance of all-zero state is initialized to zero, while the ...

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Bayesian graph edit distance

Bayesian graph edit distance

... R ELATIONAL matching is an abstract problem which models many processes in machine vision, ranging from midlevel tasks such as stereopsis [2] and multiple sensor fusion [3], [4] to higher-level ones such as object ...

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TCM for OFDM-IM

TCM for OFDM-IM

... the Hamming distance as a performance ...the distance between any pair of TCM symbol sequences results in a better detection performance of active subcarriers than that of uncoded ...the ...

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I/O MATCH (I/O MAT) AND BEHAVIORAL MATCH (BEH MAT) BASED SEMANTIC WEB SERVICE 
DISCOVERY

I/O MATCH (I/O MAT) AND BEHAVIORAL MATCH (BEH MAT) BASED SEMANTIC WEB SERVICE DISCOVERY

... using Hamming distance ...the Hamming distance (the difference between Interface IDs at approximately 50%) are ...in Hamming distance tests is ...

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Harris Operator Corner Detection using Sliding Window Method

Harris Operator Corner Detection using Sliding Window Method

... Here, hamming distance similarity measurement using sliding window method is used as a feature matching method for the corners ...using hamming distance method for corner matching is the ...

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A Priori Laplacian with Hamming Distance: Advanced Dimension Reduction Technique

A Priori Laplacian with Hamming Distance: Advanced Dimension Reduction Technique

... Euclidean distance in case of Laplacian faces and a priori Laplacian is replaced by a new and better similarity measure known as hamming ...the Hamming Distance of the 3x3 Neighbor of each ...

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Hamming distance spectrum of DAC codes for equiprobable binary sources

Hamming distance spectrum of DAC codes for equiprobable binary sources

... Abstract—Distributed Arithmetic Coding (DAC) is an effective technique for implementing Slepian-Wolf coding (SWC). It has been shown that a DAC code partitions source space into unequal- size codebooks, so that the ...

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Assessing a Sparse Distributed Memory Using Different Encoding Methods

Assessing a Sparse Distributed Memory Using Different Encoding Methods

... As written previously, using 256 graylevels it’s not pos- sible to find a suitable binary code with minimum un- desirable transitions, so that one can take advantage of the representativity of the NBC and the properties ...

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Sequence distance embeddings

Sequence distance embeddings

... Proof. The simple divide and conquer procedure effectively searches the binary parse tree of the string (from Definition 6.4.1). We consider how the distinguished characters could be placed in the string given the fixed ...

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FRAUD DETECTION IN CARD NOT PRESENT TRANSACTIONS BASED ON BEHAVIORAL PATTERN

FRAUD DETECTION IN CARD NOT PRESENT TRANSACTIONS BASED ON BEHAVIORAL PATTERN

... [2] introduced an approach to combine the information of the number of images of the same scene from different sensors or the images with focus on different objects.[3]presented a novel fusion rule which can efficiently ...

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Efficient DPA Attacks on AES Hardware Implementations

Efficient DPA Attacks on AES Hardware Implementations

... physical characteristics, a simple hamming power model can not be used to predict the power consumption of hardware implementations. Hardware implementations may leak less data-dependent power information to ...

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